Innovations in Agent-Based Complex Automated Negotiations
Takayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo, Hirofumi Yamaki
Springer Science & Business Media, Oct 14, 2010 - Mathematics - 196 pages
Complex Automated Negotiations have been widely studied and are becoming an important, emerging area in the field of Autonomous Agents and Multi-Agent Systems. In general, automated negotiations can be complex, since there are a lot of factors that characterize such negotiations. These factors include the number of issues, dependency between issues, representation of utility, negotiation protocol, negotiation form (bilateral or multi-party), time constraints, etc. Software agents can support automation or simulation of such complex negotiations on the behalf of their owners, and can provide them with adequate bargaining strategies. In many multi-issue bargaining settings, negotiation becomes more than a zero-sum game, so bargaining agents have an incentive to cooperate in order to achieve efficient win-win agreements. Also, in a complex negotiation, there could be multiple issues that are interdependent. Thus, agent's utility will become more complex than simple utility functions. Further, negotiation forms and protocols could be different between bilateral situations and multi-party situations. To realize such a complex automated negotiation, we have to incorporate advanced Artificial Intelligence technologies includes search, CSP, graphical utility models, Bays nets, auctions, utility graphs, predicting and learning methods. Applications could include e-commerce tools, decision-making support tools, negotiation support tools, collaboration tools, etc. In this book, we solicit papers on all aspects of such complex automated negotiations in the field of Autonomous Agents and Multi-Agent Systems. In addition, this book includes papers on the ANAC 2010 (Automated Negotiating Agents Competition), in which automated agents who have different negotiation strategies and implemented by different developers are automatically negotiate in the several negotiation domains. ANAC is one of real testbeds in which strategies for automated negotiating agents are evaluated in a tournament style.
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Other editions - View all
ABMP action proﬁle Agent-Based Complex Automated Agents and Multi-Agent agreement algorithm analytical toolbox approach approximate approximation error Artiﬁcial Intelligence Autonomous Agents Banzhaf index bargaining beneﬁts buyers coalition Complex Automated Negotiations Computer concession cone-constraints conﬂict deal constraints contract counter-offer culture deﬁned Deﬁnition denote desire-based negotiation model Discovery game e-market e-marketplaces efﬁcient Electronic Commerce environment equilibrium strategies error evaluation exercise price expected proﬁt ﬁnd ﬁnding ﬁrst ﬁtness genetic algorithm GENIUS gotiation Heidelberg inﬂuence Jonker knowledge base marginal contribution market situations mechanism mediator Multi-Agent Systems multi-attribute multi-issue negotiation multiple negotiating agents negotiation protocol negotiation strategy number of issues offer opponent’s options outcome parameters Pareto optimal players preference proposed Robu satisﬁed scenario Section selﬁshness seller sequential auctions Shapley value simulated annealing solution graph speciﬁc subgame perfect equilibrium synergy bidder Systems AAMAS trading utility functions utility value valuation voting game